SYSTEM AND METHOD FOR GENERATING A COLUMN-ORIENTED DATA STRUCTURE REPOSITORY FOR COLUMNS OF SINGLE DATA TYPES

Abstract

A system and method for generating a column-oriented data structure repository for columns of single data types. The method includes: receiving instructions to generate a new column of a single data type for a first data structure, wherein the first data structure is a column oriented data structure; and storing, based on the instructions, the new column within the column-oriented data structure repository, wherein the column-oriented data structure repository is accessible to at least a second user account.

Description

CROSS-REFERENCE TO RELATED APPLICATIONS

This application claims the benefit of U.S. Provisional Application No. 62/693,946 filed on Jul. 4, 2018, the contents of which are hereby incorporated by reference.

TECHNICAL FIELD

The present disclosure relates generally to column-oriented data structures analysis, and, more particularly, to a system and method thereof for generating a column-oriented data structure repository for columns of single data types.

BACKGROUND

In today's world large enterprises as well as small and medium-size enterprises deal with the challenge of managing their operations. The task of managing operations may be complicated and time consuming. In many cases, managing operations of a single project requires integration of several employers, department, and the like of the entity.

In order to deal with this complicated and time-consuming task, many entities use different project management software applications. These software applications allow for the organizing, planning and managing of resources in order to optimize the time and resources spent on each project. Some of these software applications can manage estimation and planning, scheduling, cost control and budget management, communication, decision making, and so on.

One of the most valuable features of management applications is the ability to provide information regarding one or more projects in real time. Such information may include for example, an overview on how long tasks will take to complete, early warning of any risks to the project, historical information on how projects have progressed, how actual and planned performance are related, cost maintenance, and the like. Many currently available applications lack the ability to provide such real time data in an efficient and organized manner.

It would therefore be advantageous to provide a solution that would overcome the challenges noted above.

SUMMARY

A summary of several example embodiments of the disclosure follows. This summary is provided for the convenience of the reader to provide a basic understanding of such embodiments and does not wholly define the breadth of the disclosure. This summary is not an extensive overview of all contemplated embodiments, and is intended to neither identify key or critical elements of all embodiments nor to delineate the scope of any or all aspects. Its sole purpose is to present some concepts of one or more embodiments in a simplified form as a prelude to the more detailed description that is presented later. For convenience, the term “certain embodiments” may be used herein to refer to a single embodiment or multiple embodiments of the disclosure.

Certain embodiments disclosed herein include a method for generating a column-oriented data structure repository for columns of single data types, including: receiving instructions to generate a new column of a single data type for a first data structure, wherein the first data structure is a column oriented data structure; and storing, based on the instructions, the new column within the column-oriented data structure repository, wherein the column-oriented data structure repository is accessible to at least a second user account.

Certain embodiments disclosed herein also include a computing device for generating a column-oriented data structure repository for columns of single data types, the computing device includes: a processing circuitry communicatively connected to a network interface and to a memory, wherein the memory containing instructions that, when executed by the processing circuitry, configure the computing device to: receive from a user device associated with a user account instructions to generate a new column of a single data type for a first data structure, wherein the first data structure is a column oriented data structure; and, store, based on the instructions, the new column within the column-oriented data structure repository, wherein the column-oriented data structure repository is accessible to at least a second user account.

Certain embodiments disclosed herein also include a non-transitory computer readable medium having stored thereon instructions for causing a processing circuitry to perform a process, the process comprising: receiving instructions to generate a new column of a single data type for a first data structure, wherein the first data structure is a column oriented data structure; and storing, based on the instructions, the new column within the column-oriented data structure repository, wherein the column-oriented data structure repository is accessible to at least a second user account.

BRIEF DESCRIPTION OF THE DRAWINGS

The subject matter disclosed herein is particularly pointed out and distinctly claimed in the claims at the conclusion of the specification. The foregoing and other objects, features, and advantages of the disclosed embodiments will be apparent from the following detailed description taken in conjunction with the accompanying drawings.

FIG. 1 is a block diagram of a computing device for generating a column-oriented data structure repository for columns of single data types according to an embodiment.

FIG. 2 is block diagram of a computing architecture utilized to describe the various embodiments disclosed herein.

FIG. 3 is a flowchart illustrating a method for generating a column-oriented data structure repository for columns of single data types according to an embodiment.

FIG. 4 is a flowchart illustrating a method for generating a column-oriented data structure using a new column of single data type according to an embodiment.

FIG. 5 is a flowchart illustrating a method for display positioning columns of single data type in a column-oriented data structure repository according to an embodiment.

FIG. 6 is a schematic diagram that demonstrates a single data type column-oriented data structure according to an embodiment.

FIG. 7 is a schematic diagram that demonstrates a single data type column according to an embodiment.

DETAILED DESCRIPTION

It is important to note that the embodiments disclosed herein are only examples of the many advantageous uses of the innovative teachings herein. In general, statements made in the specification of the present application do not necessarily limit any of the various claimed embodiments. Moreover, some statements may apply to some inventive features but not to others. In general, unless otherwise indicated, singular elements may be in plural and vice versa with no loss of generality. In the drawings, like numerals refer to like parts through several views.

The various disclosed embodiments include a method and system for generating a repository of columns of single data type. Upon receiving instructions to generate a new column of a single data type, the system stores the new column in the repository and allows users to access the repository for generating new data structures using the new column.

FIG. 1 shows a block diagram of a computing device 100 for generating a column-oriented data structure repository for columns of single data types according to an embodiment. The computing device 100 includes at least one processing circuitry 110, for example, a central processing unit (CPU). In an embodiment, the processing circuitry 110 includes, or is a component of, a larger processing unit implemented with one or more processors. The one or more processors may be implemented with any combination of general-purpose microprocessors, microcontrollers, digital signal processors (DSPs), field programmable gate array (FPGAs), programmable logic devices (PLDs), controllers, state machines, gated logic, discrete hardware components, dedicated hardware finite state machines, or any other suitable entities that can perform calculations or other manipulations of information. The CPU 110 is coupled via a bus 105 to a memory 120.

The memory 120 further includes a memory portion 122 that contains instructions that when executed by the processing circuitry 110 performs the method described in more detail herein. The memory 120 may be further used as a working scratch pad for the processing circuitry 110, a temporary storage, and others, as the case may be. The memory 120 may be a volatile memory such as, but not limited to random access memory (RAM), or non-volatile memory (NVM), such as, but not limited to, flash memory. The processing circuitry may be further connected to a network device 140, such as a network interface card, for providing connectivity between the computing device 100 and a network, such as a network 210, discussed in more detail with respect to FIG. 2 below. The processing circuitry 110 may be further coupled with a storage 130. The storage 130 may be used for the purpose of storing single data type column-oriented data structures, data elements associated with the data structures, and so on.

The processing circuitry 110 and/or the memory 120 may also include machine-readable media for storing software. Software shall be construed broadly to mean any type of instructions, whether referred to as software, firmware, middleware, microcode, hardware description language, or otherwise. Instructions may include code (e.g., in source code format, binary code format, executable code format, or any other suitable format of code). The instructions, when executed by the one or more processors, cause the processing system to perform the various functions described in further detail herein.

FIG. 2 is a block diagram of a computing architecture 200 utilized to describe the various embodiments disclosed herein. The computing device 100 is coupled to a network 210. The computing device 100 and its components are described herein above in more detail with respect of FIG. 1. The network 210 enables communication between different elements that may be communicatively coupled with the computing device 100, as further described herein below. The network 210 may be the Internet, the world-wide-web (WWW), a local area network (LAN), a wide area network (WAN), a metro area network (MAN), and other networks capable of enabling communication between the elements of the computing architecture 200. In an embodiment, the computing device 100 is a server deployed in a cloud computing environment.

One or more user devices 220-1 through user device 220-m, where ‘m’ in an integer equal to or greater than 1, referred to individually as user device 220 and collectively as user devices 220, may be communicatively coupled with the computing device 100 via the network 210. A user device 220 may be for example, a smart phone, a mobile phone, a laptop, a tablet computer, a wearable computing device, a personal computer (PC), a smart television and the like. A user device 220 may be configured to send to and receive from the computing device 100 data and/or metadata associated with a variety of elements associated with single data type column-oriented data structures, such as columns, rows, cells, schemas, and the like.

One or more data repositories 230-1 through data repository 230-n, where ‘n’ in an integer equal to or greater than 1, referred to individually as data repository 230 and collectively as data repository 230, may be communicatively coupled with the computing device 100 via the network 210, or embedded within the computing device 100. Each data repository 230 may be communicatively connected to the network 110 through a database management service (DBMS) 235. The data repository 230 may be for example, a storage device containing thereon a database, a data warehouse, and the like, that may be used for storing data structures, data items, metadata, and so on, as further described herein below. In some embodiments, one or more of the repositories may be distributed over several physical storage devices, e.g., in a cloud-based computing environment. Any storage device may be a network accessible storage device, or a component of the computing device 100.

According to an embodiment, a request is received containing instructions for generating a new column of a single data type for a first column-oriented data structure. The request may be transmitted over the network 210 from a first user device 220-1 and received at the computing device 100. A single data type column is one where all cells are uniform in at least one aspect. The aspect may be numeric values only, characters only, alphanumeric values, graphic elements only, closed list of elements, formatting, 1-100 values only, “A” to “E” only, and so on. A single data type column-oriented data structure may be a digital data structure of at least a table that comprises at least a column where all cells of the at least a column are associated with a single category. The new column may include content, font, format, and the like, that is new with respect to previous single data type columns that are stored in the storage 130 and/or the data repository 230.

According to one embodiment, a single data type column may include values that are influenced by other column values in the same row. For example, a first column may include due dates for several projects and a second column may include the days, hours, and the like, left for reaching the due date. According to another embodiment, a single data type column may include formulas, integration rules, and so on. For example, a certain column may include cells where each cell is indicative of the status of a project that may be managed or tracked using a certain software.

A first user device 220-1 is associated with a first user account. The first user account may be associated with an employee, a manger, a department, etc. and may be required to login using a password in order to send the request to the computing device 100.

In response to receiving the request, the computing device 100 may be configured to generate the new column of a single data type. In an embodiment, the computing device 100 is configured to perform a search for an identical column of a single data type that was previously generated and stored in the storage 130 of FIG. 1 or the data repository 230.

The computing device 100 stores, based on the instructions, the new column within a column-oriented data structure repository. The column-oriented data structure repository may be implemented as, for example, the repository 230-1. In an embodiment, the column-oriented data structure repository is accessible to at least a second user account associated with, for example, a second user device 220-2.

FIG. 3 depicts an example flowchart 300 illustrating a computerized method for generating a column-oriented data structure repository for columns of single data types according to an embodiment.

At S310, at least one instruction is received for generating a new column of a single data type for a first column-oriented data structure. The instruction may be transferred over a request sent from a user device 220, that is associated with a user account, to the computing device 100. A single data type column is one where all cells are uniform in at least one aspect. The aspect may be numeric values only, characters only, alphanumeric values, graphic elements only, closed list of elements, formatting, 1-100 values only, “A” to “E” only, and so on. A single data type column-oriented data structure may be a digital data structure of at least a table that comprises at least a column where all cells of the at least a column are associated with a single category. The new column may include content, font, format, and the like that is new with respect to previous single data type columns that are stored in column-oriented data structure repository, such as the repository 230.

At optional S320, a search is performed in one or more sources, such as the storage 130 and the repository 230, for determining whether the desired new column is similar above a predetermined threshold to a second column that was previously stored in the storage 130 and/or in the repository 230. The search may be achieved by comparing a first set of characteristics associated with the new column and a second set of characteristics associated with the second, previously stored, column. The characteristics may be for example, same words, same number of cells containing the same, or similar, phrase, same numbering, and so on. The threshold may indicate one or more characteristics that, when they appear in both columns, both columns are considered similar above a certainty level. For example, in case a previous column of a single data type includes the option to insert numbers only from “1” to “5”, a generation of a new column that contain the same data type may be prevented. In case it is determined that the new column is similar above the predetermined threshold, the execution terminates; otherwise, execution continues with S330.

At S330, the new column type of a single data type is generated for a first column-oriented data structure.

At S340, the new column type is stored in the column-oriented data structure repository, such as the repository 230 of FIG. 2. The column-oriented data structure repository may be accessible to at least a second user account that may be associated with the second user device 220-2.

In an embodiment, the computing device 100 is configured to generate instructions to configure a display controller to display the data structure on a viewing device, such as a display of a personal computer (PC). According to one embodiment, the computing device 100 is configured to generate an interactive user interface that includes a plurality of columns of single data type. The interactive user interface may include, for each of the columns of a single data type, a column name, a column rating, a column score, and the like. According to yet a further embodiment, the user interface is configured to receive at least an input including a selection of a column of a single data type.

FIG. 4 depicts an example flowchart 400 illustrating a method for generating a column-oriented data structure using a new column of single data type according to an embodiment.

At S410, a request for generating a second column-oriented data structure that comprises a new column of a single data type is received. The request may be sent from a user device that is associated with a user account, e.g., user device 220 of FIG. 2, to the computing device 100. The new column may include content, font, format, and so on, that is new with respect to previous single data type columns that are stored in column-oriented data structure repository, such as the repository 230 of FIG. 2. A single data type column is one where all cells are uniform in at least one aspect. The aspect may be numeric values only, characters only, alphanumeric values, graphic elements only, closed list of elements, formatting, 1-100 values only, “A” to “E” only, and so on. A single data type column-oriented data structure may be a digital data structure of at least a table that comprises at least a column where all cells of the at least a column are associated with a single category.

At S420, it is determined whether the user account that is associated with, for example, a second user device 220-2 has permission to use the new column, and if so execution continues with S430, otherwise; execution continues with S440. The determination may be achieved by searching in the data repository 230 that includes a set of permissions associated with each new column, for a permission associated with the user and/or the new column. The set of permissions of the specific new column may be indicative of whether the user account associated with, for example, the user device 220-2 has permission to use the new column of a single data type. For example, a user account may have permission to use only new columns of a single data type generated by user accounts of the same organization of the first user account. As another example, certain new columns may be used by user accounts that previously purchased a license for using the new column.

At S430, the second column-oriented data structure that includes the new column of single data type is generated.

At S440, after determining that the user account does not have permission to use the new column, the second data structure without the new column is generated if applicable. That is to say, in case the desirable new column is not the only column the user account is trying to generate, the second data structure is generated with the columns that were previously generated and without the desirable new column. In an embodiment, when the desirable new column is the only column at the data structure and the user account does not have a permission to use the new column, the generation of the data structure is prohibited.

FIG. 5 is an example flowchart 500 illustrating a method for display positioning columns of single data type in a column-oriented data structure repository according to an embodiment.

At S510, a request to position a new column of a single data type in a column-oriented data structure repository is received. The request may be generated based on the generation of the new column. The positioning may differentiate, for example, between a first type of column and a second type of column, columns having high rating, columns having poor rating, and so on.

At S520, a plurality of parameters associated with the new column is collected from at least one source such as a repository 230. The parameters may be indicative of, for example, the rating of the new column as determined by users, number of downloads, type of column, category, and so on.

At S530, the plurality of parameters associated with the new column is analyzed with respect to a set of positioning rules for determining the display position of the new column in a generated display. The positioning rules may indicate where a column should be positioned with respect to a plurality of parameters associated with the new column and previous columns that are already stored in the single data type column-oriented data structure repository. For example, one positioning rule may indicate that in case the column rating is above seven out of ten levels, and the number of downloads of the column is above 10,000, the column should be positioned respectively in the repository. According to the same example, the column may be positioned in the repository at a certain position that causes the column to be displayed at a first web page displaying the single data type columns.

At S540, the new column is positioned in a first position within the column-oriented data structure repository 230. It should be noted that positioning the new column within the column-oriented data structure repository allows to determine the position of the column on a webpage displaying the single data type columns, on a mobile application, and the like.

In an embodiment, the new data type may be tagged with respect to the results of the analysis described herein above. The tag may include, for example, the name of the new column, the column's type, the column's score, etc. According to another embodiment, the tag may allow to determine the position of the new column.

FIG. 6 is an example diagram 600 that demonstrates a single data type column-oriented data structure according to an embodiment. The example single data type column-oriented data structure 600 includes four rows and six columns. All six columns contain cells, such that all cells of each column are associated with a single data type (i.e. all cells of the first column are of a first data type, all cells of the second column are of a second data type, etc.). In an embodiment, certain columns can be of the same data type. For example, column 610 contains only names. Thus, a numeric value, alphanumeric value, etc. cannot be inserted into the cells associated with the manager column 610. Column 620 is generated to contain only manager positions' descriptions. This column may be associated with, for example, a closed list of positions, for example: chief executive officer (CEO), chief technology officer (CTO), vice president of research and development (VP R&D), and project manager.

The reference column 630 may be generated to accept only alphanumeric values in a fixed format, e.g., three characters, a dash and then three letters, such as ‘AAA-001.’ The design column 640 may be configured to contain only one of three possible phrases that indicate the status of a certain project such as “working on it”, “stuck” and “done”. Phone number column 650 is generated to contain only numbers consist of 11 numbers with a plus symbol in the beginning. This column may be associated with, for example, international phone numbers of the projects' managers.

FIG. 7 is an example diagram 700 that demonstrates a single data type column according to an embodiment. Each single data type column may be comprised of a plurality of cells that are uniform in at least one aspect as further described in further detail above. Status column 710 is a single data type column utilized to track a certain legal document status. The shown column 710 includes four optional cells, i.e., content that can be insert to the cells of the column 710. Cell 710-10 contains the phrase “first draft” which means that one has started to work on a draft of the legal document. Cell 710-20 contains the word “reviewed” which means that someone has reviewed the draft. Cell 710-30 contains the sentence “waiting for client's approval” which means that the draft was sent to the client for approval. Cell 710-40 contains the word “filed” which means that the legal document was submitted with a corresponding legal authority.

The purpose of this disclosure is to generate a column-oriented data structure repository for columns of single data types. The repository, once generated, enables rapid and convenient gathering of one or more columns of single data type such that a table adjusted for a user's preferences can be generated. The use of single data type column-oriented data structure allows users to insert only the values approved as valid, prevent typos, and ensuring efficient uniformity.

The various embodiments disclosed herein can be implemented as hardware, firmware, software, or any combination thereof. Moreover, the software is preferably implemented as an application program tangibly embodied on a program storage unit or computer readable medium consisting of parts, or of certain devices and/or a combination of devices. The application program may be uploaded to, and executed by, a machine comprising any suitable architecture. Preferably, the machine is implemented on a computer platform having hardware such as one or more central processing units (“CPUs”), a memory, and input/output interfaces. The computer platform may also include an operating system and microinstruction code. The various processes and functions described herein may be either part of the microinstruction code or part of the application program, or any combination thereof, which may be executed by a CPU, whether or not such a computer or processor is explicitly shown. In addition, various other peripheral units may be connected to the computer platform such as an additional data storage unit and a printing unit. Furthermore, a non-transitory computer readable medium is any computer readable medium except for a transitory propagating signal.

As used herein, the phrase “at least one of” followed by a listing of items means that any of the listed items can be utilized individually, or any combination of two or more of the listed items can be utilized. For example, if a system is described as including “at least one of A, B, and C,” the system can include A alone; B alone; C alone; A and B in combination; B and C in combination; A and C in combination; or A, B, and C in combination.

All examples and conditional language recited herein are intended for pedagogical purposes to aid the reader in understanding the principles of the disclosed embodiment and the concepts contributed by the inventor to furthering the art, and are to be construed as being without limitation to such specifically recited examples and conditions. Moreover, all statements herein reciting principles, aspects, and embodiments of the disclosed embodiments, as well as specific examples thereof, are intended to encompass both structural and functional equivalents thereof. Additionally, it is intended that such equivalents include both currently known equivalents as well as equivalents developed in the future, i.e., any elements developed that perform the same function, regardless of structure.

Claims

1. A method for generating a column-oriented data structure repository for columns of single data types, comprising:

receiving instructions to generate a new column of a single data type for a first data structure, wherein the first data structure is a column oriented data structure; and

storing, based on the instructions, the new column within the column-oriented data structure repository, wherein the column-oriented data structure repository is accessible to at least a second user account.

2. The method of claim 1, further comprising:

receiving a request for generating a second data structure comprising at least the new column of a single data type.

3. The method of claim 1, further comprising:

generating instructions to configure a display controller to display the data structure on a viewing device.

4. The method of claim 3, further comprising:

generating an interactive user interface, wherein the user interface comprises for each of the column of a single data type at least one of: a column name, a column rating, a column score.

5. The method of claim 4, wherein the user interface is configured to receive at least an input, wherein the input comprises a selection of the column of a single data type.

6. A computing device for generating a column-oriented data structure repository for columns of single data types, the computing device comprises:

a processing circuitry communicatively connected to a network interface and to a memory, wherein the memory containing instructions that, when executed by the processing circuitry, configure the computing device to: receive from a user device associated with a user account instructions to generate a new column of a single data type for a first data structure, wherein the first data structure is a column oriented data structure; and, store, based on the instructions, the new column within the column-oriented data structure repository, wherein the column-oriented data structure repository is accessible to at least a second user account.

7. The computing device of claim 6, wherein the computing device is further configured to:

receive a request for generating a second data structure comprising at least the new column of a single data type.

8. The computing device of claim 6, wherein the computing device is further configured to:

generate instructions to configure a display controller to display the data structure on a viewing device.

9. The computing device of claim 6, wherein the computing device is further configured to:

generate an interactive user interface, wherein the user interface comprises for each of the column of a single data type at least one of: a column name, a column rating, a column score.

10. The computing device of claim 9, wherein the user interface is configured to receive at least an input, wherein the input comprises a selection of a column of a single data type.

11. The computing device of claim 6, wherein the computing device is further configured to:

determine if the new column is similar to an existing column above a predetermined threshold.

12. The computing device of claim 11, wherein the determining the predetermined threshold includes comparing a first set of characteristics associated with the new column and a second set of characteristics associated with the second column.

13. The computing device of claim 12, wherein the first set of characteristics and the second set of characteristics includes comparing the presence of at least one of: same words, same number of cells containing the same, or similar, phrase, and same numbering.

14. A non-transitory computer readable medium having stored thereon instructions for causing a processing circuitry to perform a process, the process comprising:

receiving instructions to generate a new column of a single data type for a first data structure, wherein the first data structure is a column oriented data structure; and

storing, based on the instructions, the new column within the column-oriented data structure repository, wherein the column-oriented data structure repository is accessible to at least a second user account.